What’s new with SWIFT’s CSCF in 2021 and how best to tackle it? Banks will no longer be able to self-assess their SWIFT controls although they can use an independent internal third party. Far better ...

Growth in digital banking across APAC risks a similar growth in fraud The rise in digital banking across Asia Pacific must be supported by viable business models that include a comprehensive risk and ...

NetGuardians’ software leads to arrests of mobile-wallet fraudsters Our software helps banks and telcos detect fraudulent activity related to mobile wallets and ATMs, and has even helped catch the ...

Machine learning can stamp out internal banking fraud By analyzing the behavior of staff, customer and the transaction itself, banks can spot and stop not only known fraud types but also new frauds, ...

How can banks protect against a new pandemic of fraud? As fraudsters increasingly use fake websites, emails, invoices and companies to defraud the public, banks should look at the record of AI to ...

Foiling Enterprise Payment Fraud Through Managed Learning In our new white paper on enterprise payment fraud (EPF), we explore the fastest-growing area of banking fraud today and explain ...

Why FinTechs’ targeted products are better at fighting bank fraud Banks are increasingly turning to specialist FinTechs to deal with fraud for three solid reasons: they understand the problems better ...

Software shines a light on internal fraud Internal fraud casts a long shadow over banks across Africa. With the Covid-19 crisis and home office policies, the situation will not get any better. ...

From Singapore to Switzerland, there’s only one way to stop fraud Asian and European digital payments markets might appear quite different, but their problems are the same – fraudsters stealing ...

Fraud detection on SWIFT without the need to configure any rule NetGuardians’ machine-learning fraud-mitigation software allows banks to monitor SWIFT messages to spot new and existing fraud types in ...